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Stephen Cameron is a robotics researcher whose work spans computational geometry, collision detection, autonomous systems, and multi-robot coordination. He is perhaps best known for his foundational contributions to the problem of computing distances between convex objects, most notably his enhancements to the Gilbert-Johnson-Keerthi (GJK) algorithm, which demonstrated near-constant time complexity for tracking minimum and penetration distances between convex polyhedra — work that has accumulated 286 citations and remains a cornerstone reference in collision detection literature. His 1990 paper on four-dimensional intersection testing offered an elegant reformulation of collision detection that continues to influence the field nearly three decades later with 193 citations. Beyond geometry, Cameron made a remarkable and widely celebrated contribution to autonomous behavioral robotics through the Robot Sheepdog Project, in which a mobile robot successfully herded live ducks using a minimal simulation-derived control algorithm — a playful yet scientifically rigorous demonstration of emergent flock control that attracted over 200 citations. His later work extended into multi-robot exploration under communication constraints, addressing real-world deployment challenges for robotic teams. Across more than two decades, Cameron's research has bridged theoretical computational foundations with practical autonomous systems, making him a distinctive and influential figure in Oxford's robotics tradition.